Lead QA - Legal -ML/AI - Pune

IND - Pune, Kalyani Nagar, India

Wolters Kluwer

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Summary

The Lead Legal Quality Analyst is responsible for overseeing quality assurance across legal content operations, ensuring compliance with regulatory standards and business objectives. This role involves conducting content audits, defining QA metrics, and collaborating with AI/ML teams to refine AI-driven legal analysis. The ideal candidate will lead automation-driven QA strategies, mitigate risks, and enhance operational efficiency. Additionally, they will act as a subject matter expert, working cross-functionally to improve content workflows and regulatory compliance. With strong leadership skills, they will mentor junior analysts and drive continuous improvements in legal content accuracy and reliability.

Essential Duties and Responsibilities   

                                

1. Lead Quality Assurance Initiatives – Oversee end-to-end QA processes for legal content operations, ensuring compliance with SOPs and regulatory requirements. 

2. Conduct Content Quality Audits – Perform periodic audits on metadata, taxonomy, AI-generated compliance outputs, and workflow accuracy, identifying gaps and areas for improvement. 

3. Define and Monitor QA Metrics – Establish key performance indicators (KPIs) to track content accuracy, compliance adherence, and operational efficiency, providing regular reports to stakeholders. 

4. Enhance AI and ML Content Solutions – Work closely with AI/ML teams to refine prompt engineering, improve AI-generated legal content, and enhance automation for content validation. 

5. Collaborate with Cross-Functional Teams – Act as a bridge between legal SMEs, compliance teams, engineers, and product managers to align QA strategies with business objectives. 

6. Develop and Maintain SOPs – Create, refine, and enforce standard operating procedures for quality audits, ensuring consistency and adherence across all regulatory content workflows. 

7. Implement Automation in QA Processes – Identify opportunities to introduce automation tools and frameworks to improve QA efficiency and reduce manual effort. 

8.  Risk Management and Issue Resolution – Proactively identify potential risks in legal content workflows, propose mitigation strategies, and ensure timely resolution of QA-related issues. 

9. Ensure Regulatory Compliance – Stay updated on legal AI advancements, regulatory changes, and industry best practices to ensure AI-driven legal outputs align with compliance frameworks. 

10. Mentor and Guide Team Members – Provide leadership, training, and technical mentorship to junior analysts, fostering a high-quality, compliance-driven culture within the team. 

Job Qualifications                                                                        

Education:

  • 3 to 5 years of experience in working on projects at different stages of project lifecycle.
  • Good secondary research skills with hands-on experience in using the web to solve complex problems.
  • Worked as team player and have efficiently delivered projects that involved multiple touchpoints.
  • Prior experience of quality and assurance would be a plus.

Required:

  • Analytical and Problem-Solving Skills: Ability to perform in-depth analysis, identify gaps, and propose innovative solutions. Proven ability to convey complex technical concepts and data insights to non-technical stakeholders. Exceptional attention to detail and ability to resolve critical issues.
  • Communications: Strong arbitration and organizational skills are critical to being successful in this role. Strong communications skills and the ability to organize and motivate team members in a matrix environment are essential.
  • Team Work: Must work collaboratively with people within group and throughout the entire WK organization, while providing constructive feedback.
  • Problem Solving: Capable of independent thinking and rendering sound decisions. Astute at identifying and engaging the necessary resources to help in decision making. Takes quick actions to identify and resolve the cause of any problem. Proactive in nature.
  • Leadership: Exhibits individual control over day to day responsibilities as well as the ability to work collaboratively with other BUs to produce results.
  • Planning and Organizing: Must be able to implement plans with the purpose of achieving short and long term goals. Must be able to prioritize in order to accomplish these goals in a given time period.
  • Technology: Has the ability to partner with experts in the technology field to identify technology gaps and requirements necessary to develop position and impactful solutions.
  • Learning: Ability to acquire new or modify existing knowledge to support a changing marketplace and workforce. Can demonstrate a capability to learn by study, experience, or instruction.
  • Initiative and Enterprise: Is self-directed and has the ability to translate ideas into action and get things done.
  • Other Skills: Ability to perform effectively under pressure, demonstrating sound judgment and decision-making.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AI content Engineering KPIs Machine Learning Prompt engineering Research

Region: Asia/Pacific
Country: India

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